Add dataset card with statistics, example DAG, and badges

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

README.md

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+---
+license: mit
+task_categories:
+  - text-generation
+tags:
+  - code
+  - benchmark
+  - agents
+  - software-engineering
+  - evaluation
+pretty_name: EvoClaw
+---
+
+<p align="center">
+  <img src="assets/evoclaw_icon.png" width="120" alt="EvoClaw" />
+</p>
+
+# EvoClaw Dataset
+
+<p align="center">
+  <a href="https://evo-claw.com"><img src="https://img.shields.io/badge/Website-evo--claw.com-blue.svg" alt="Website" /></a>
+  <a href="https://arxiv.org/abs/2603.13428"><img src="https://img.shields.io/badge/arXiv-2603.13428-b31b1b.svg" alt="arXiv" /></a>
+  <a href="https://github.com/Hydrapse/EvoClaw"><img src="https://img.shields.io/badge/GitHub-EvoClaw-181717?logo=github" alt="GitHub" /></a>
+</p>
+
+Software evolution itineraries (as Milestone DAGs) extracted from real-world repositories for AI agent evaluation. Used by [EvoClaw](https://github.com/Hydrapse/EvoClaw). [[Paper]](https://arxiv.org/abs/2603.13428)
+
+This dataset contains the metadata, task specifications (SRS documents), dependency graphs, and test classifications (e.g., `fail_to_pass`, `pass_to_pass`) needed to run EvoClaw evaluation trials.
+
+## Dataset Statistics
+
+EvoClaw covers **7 real-world open-source repositories** spanning 5 programming languages, with **98 graded milestones**, **124 dependency edges**, and **48,480 total ΔLoC** in gold patches.
+
+| Repository | Language | Version Range | #Milestones | #Deps | ΔLoC | LoC CV |
+|-----------|----------|---------------|:-----------:|:-----:|-----:|:------:|
+| [go-zero](https://github.com/zeromicro/go-zero) | Go | v1.6.0 → v1.9.3 (750d) | 23 | 25 | 6,403 | 1.29 |
+| [element-web](https://github.com/element-hq/element-web) | TypeScript | v1.11.95 → v1.11.97 (28d) | 18 | 12 | 7,657 | 0.87 |
+| [nushell](https://github.com/nushell/nushell) | Rust | 0.106.0 → 0.108.0 (84d) | 13 | 28 | 15,520 | 1.10 |
+| [dubbo](https://github.com/apache/dubbo) | Java | 3.3.3 → 3.3.6 (284d) | 12 | 9 | 4,154 | 0.76 |
+| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | Python | 1.5.2 → 1.6.0 (89d) | 12 | 29 | 7,372 | 0.84 |
+| [ripgrep](https://github.com/BurntSushi/ripgrep) | Rust | 14.1.1 → 15.0.0 (402d) | 11 | 12 | 1,474 | 0.83 |
+| [navidrome](https://github.com/navidrome/navidrome) | Go | v0.57.0 → v0.58.0 (27d) | 9 | 9 | 5,900 | 1.02 |
+| **Average** | | | **14** | **17.7** | **6,926** | **0.96** |
+
+**Column definitions:**
+- **#Milestones** --- Number of graded milestones (non-graded milestones excluded from scoring but still part of the DAG).
+- **#Deps** --- Number of dependency edges in the milestone DAG.
+- **ΔLoC** --- Total lines of code changed across all gold patches in the version range.
+- **LoC CV** --- Coefficient of variation of per-milestone LoC, measuring how unevenly work is distributed across milestones (higher = more variable).
+
+## Dataset Structure
+
+Each repository workspace directory contains:
+
+```
+EvoClaw-data/<repo_name>/
+├── metadata.json                      # Repo metadata (src_dirs, test_dirs, patterns)
+├── dependencies.csv                   # Milestone dependency DAG
+├── milestones.csv                     # Milestone catalog
+├── selected_milestone_ids.txt         # (optional) Subset of milestones to evaluate
+├── additional_dependencies.csv        # (optional) Extra DAG edges
+├── non-graded_milestone_ids.txt       # (optional) Milestones excluded from scoring
+├── srs/{milestone_id}/SRS.md          # Task specification per milestone
+└── test_results/{milestone_id}/       # Test classifications and filters
+    ├── {milestone_id}_classification.json
+    └── {milestone_id}_filter_list.json   # (optional) Invalid tests excluded from grading
+```
+
+### Key Files
+
+- **`metadata.json`** --- Repository configuration including source directories, test directory patterns, exclude patterns, and build commands.
+- **`dependencies.csv`** --- Defines the milestone dependency DAG. Each row is an edge `(upstream, downstream, strength)`.
+- **`milestones.csv`** --- Catalog of all milestones with IDs, titles, and associated commit ranges.
+- **`srs/{milestone_id}/SRS.md`** --- Software Requirements Specification describing what the agent needs to implement for each milestone.
+- **`test_results/{milestone_id}/{milestone_id}_classification.json`** --- Test classifications used for grading. Contains lists of test IDs categorized by expected state transitions (`fail_to_pass`, `pass_to_pass`, `none_to_pass`).
+- **`test_results/{milestone_id}/{milestone_id}_filter_list.json`** --- (optional) Lists invalid or flaky tests (`invalid_fail_to_pass`, `invalid_none_to_pass`) to exclude from grading.
+
+## Example: ripgrep Milestone DAG
+
+The figure below shows the milestone DAG for **ripgrep** (14.1.1 → 15.0.0), illustrating how milestones are structured and connected.
+
+<p align="center">
+  <img src="assets/evoclaw_example.png" width="820" alt="Example: ripgrep milestone DAG with SRS documents and test classifications" />
+</p>
+
+Each milestone in the DAG requires the following components:
+
+- **SRS (Software Requirements Specification)** --- A Markdown document describing what the agent needs to implement. Located at `srs/{milestone_id}/SRS.md`.
+- **Test classification** --- A JSON file listing which tests are expected to transition states after the milestone is implemented. Located at `test_results/{milestone_id}/{milestone_id}_classification.json`. It categorizes tests into:
+  - `fail_to_pass` --- Tests that are currently failing and must pass after the milestone is implemented (the core success criteria).
+  - `pass_to_pass` --- Tests that are currently passing and must remain passing (regression guard).
+  - `none_to_pass` --- New tests introduced by this milestone that should pass. By default, these are merged into `fail_to_pass` when computing scores (not scored separately).
+- **Milestone Docker image** --- A pre-built Docker image containing the test environment for that specific milestone, used by the evaluator to run tests in isolation. Hosted on [DockerHub](https://hub.docker.com/u/hyd2apse).
+- **Base Docker image** --- The starting environment where the agent runs, containing the codebase at the start version. Also hosted on DockerHub.
+
+## Notes
+
+- The **Graded Milestones** count includes only milestones that contribute to the final score. Some repositories include additional **non-graded milestones** (listed in `non-graded_milestone_ids.txt`) that the agent must still implement as part of the dependency DAG but are excluded from scoring, typically because they are trivial tasks (e.g., version bumps, dependency updates) or lack sufficient test coverage for reliable grading. Only 3 milestones across all repositories are non-graded.
+- Each milestone is extracted from the actual commit history of the repository, representing real software evolution between the listed version ranges.
+
+## Usage
+
+```bash
+git lfs install
+git clone https://huggingface.co/datasets/hyd2apse/EvoClaw-data
+```
+
+Then follow the [EvoClaw setup guide](https://github.com/Hydrapse/EvoClaw#-setup) to run evaluation trials.
+
+## Citation
+
+```bibtex
+@misc{deng2026evoclawevaluatingaiagents,
+      title={EvoClaw: Evaluating AI Agents on Continuous Software Evolution},
+      author={Gangda Deng and Zhaoling Chen and Zhongming Yu and Haoyang Fan and Yuhong Liu and Yuxin Yang and Dhruv Parikh and Rajgopal Kannan and Le Cong and Mengdi Wang and Qian Zhang and Viktor Prasanna and Xiangru Tang and Xingyao Wang},
+      year={2026},
+      eprint={2603.13428},
+      archivePrefix={arXiv},
+      primaryClass={cs.SE},
+      url={https://arxiv.org/abs/2603.13428},
+}
+```